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Poisson Models for Count Data

Chapter 4 Poisson Models for CountDataIn this chapter we study log-linear Models for Count data under the assump-tion of a Poisson error structure. These Models have many applications, notonly to the analysis of counts of events, but also in the context of Models forcontingency tables and the analysis of survival Introduction to Poisson RegressionAs usual, we start by introducing an example that will serve to illustrativeregression Models for Count data. We then introduce the Poisson distributionand discuss the rationale for modeling the logarithm of the mean as a linearfunction of observed covariates.

and discuss the rationale for modeling the logarithm of the mean as a linear ... Poisson response and link log. 4.1.1 The Children Ever Born Data Table 4.1, adapted from Little (1978), comes from the Fiji Fertility Survey and is typical of the sort of table published in the reports of the World ... The numbers of occurrences of the event in ...

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